Clinical characteristics and disease-specific prognostic nomogram for primary gliosarcoma: a SEER population-based analysis

Because the study population with gliosarcoma (GSM) is limited, the understanding of this disease is insufficient. In this study, the authors aimed to determine the clinical characteristics and independent prognostic factors influencing the prognosis of GSM patients and to develop a nomogram to pred...

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Bibliographic Details
Published in:Scientific reports 2019-07, Vol.9 (1), p.10744-9, Article 10744
Main Authors: Feng, Song-Shan, Li, Huang-bao, Fan, Fan, Li, Jing, Cao, Hui, Xia, Zhi-Wei, Yang, Kui, Zhu, Xiao-San, Cheng, Ting-Ting, Cheng, Quan
Format: Article
Language:English
Subjects:
692/4028/546
692/499
Age Factors
Aged
Brain Neoplasms - diagnosis
Brain Neoplasms - mortality
Brain Neoplasms - pathology
Brain Neoplasms - surgery
Chemotherapy
Craniotomy
Decision trees
Epidemiology
Female
Gliosarcoma - diagnosis
Gliosarcoma - mortality
Gliosarcoma - pathology
Gliosarcoma - surgery
Humanities and Social Sciences
Humans
Male
Medical prognosis
Metastases
Middle Aged
multidisciplinary
Nomograms
Patients
Population studies
Prognosis
Proportional Hazards Models
Registries
Science
Science (multidisciplinary)
SEER Program
Survival Analysis
Tumors
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Summary:Because the study population with gliosarcoma (GSM) is limited, the understanding of this disease is insufficient. In this study, the authors aimed to determine the clinical characteristics and independent prognostic factors influencing the prognosis of GSM patients and to develop a nomogram to predict the prognosis of GSM patients after craniotomy. A total of 498 patients diagnosed with primary GSM between 2004 and 2015 were extracted from the 18 Registries Research Data of the Surveillance, Epidemiology, and End Results (SEER) database. The median disease-specific survival (DSS) was 12.0 months, and the postoperative 0.5-, 1-, and 3-year DSS rates were 71.4%, 46.4% and 9.8%, respectively. We applied both the Cox proportional hazards model and the decision tree model to determine the prognostic factors of primary GSM. The Cox proportional hazards model demonstrated that age at presentation, tumour size, metastasis state and adjuvant chemotherapy (CT) were independent prognostic factors for DSS. The decision tree model suggested that age
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-019-47211-7